Multicollinearity: How common factors cause Type 1 errors in multivariate regression
Sign Up to like & getrecommendations! Published in 2018 at "Southern Medical Journal"
DOI: 10.1002/smj.2783
Abstract: Research Summary: In multivariate regression analyses of correlated variables, we sometimes observe pairs of estimated beta coefficients large in absolute magnitude and opposite in sign. T‐statistics are also large, suggesting meaningful findings. I found 64… read more here.
Keywords: beta coefficients; type errors; multivariate regression; opposite sign ... See more keywords
Publishing negative findings and the challenge of avoiding type II errors in studies of suspect teratogens: Example of a recent ondansetron publication.
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DOI: 10.1016/j.reprotox.2016.12.001
Abstract: It is important that negative, as well as positive, studies be published to complete the available picture in areas of scientific inquiry. At the same time, it is critical that the implications of a negative… read more here.
Keywords: challenge avoiding; avoiding type; ondansetron; negative findings ... See more keywords
Systematic identification and communication of type errors*
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DOI: 10.1017/s095679681700020x
Abstract: Abstract When type inference fails, it is often difficult to pinpoint the cause of the type error among many potential candidates. Generating informative messages to remove the type error is another difficult task due to… read more here.
Keywords: cause; systematic identification; error; type error ... See more keywords
Measuring the effectiveness of bankruptcy institutions: filtering failures in Slovenian financial reorganizations
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DOI: 10.1017/s1744137418000437
Abstract: Abstract We examine the effectiveness of bankruptcy institutions at promoting socially efficient allocation of resources. Under the Slovenian simplified reorganization procedure, firms with rejected reorganization proposals are not automatically liquidated. This unique institutional feature facilitates… read more here.
Keywords: type errors; bankruptcy institutions; filtering failures; bankruptcy ... See more keywords
p-Value adjustment to control type I errors in linear regression models
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DOI: 10.1080/00949655.2017.1281278
Abstract: ABSTRACT The paper is devoted to a new randomization method that yields unbiased adjustments of p-values for linear regression model predictors by incorporating the number of potential explanatory variables, their variance–covariance matrix and its uncertainty,… read more here.
Keywords: control type; value adjustment; linear regression; number ... See more keywords
Optimal Universal and Categorical Benefits with Classification Errors and Imperfect Enforcement
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DOI: 10.1111/jpet.12218
Abstract: We determine the optimal combination of a universal benefit, ????, and categorical benefit, ????, for an economy in which individuals differ in both their ability to work – modelled as an exogenous zero quantity constraint… read more here.
Keywords: classification errors; work; classification; enforcement ... See more keywords